Power BI Developer for Data & Analytics (Malaysia)

Talentbook Solutions Sdn Bhd; Selangor; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading tech solutions provider in Malaysia is seeking exceptional Power BI Developers to join its Data & Analytics team. The successful candidates will design and maintain Power BI reports and dashboards, ensuring actionable insights across sales and marketing. Applicants should have a Bachelor’s degree and at least 3 years of Power BI experience. Benefits include travel allowances, certification funding, and annual bonuses. Ideal candidates will have strong DAX skills and knowledge of data governance practices, working closely with data engineers and analysts.

Benefits

Travel allowance

RM1000 certification allowance annually

Annual bonus

Insurance coverage

Qualifications

• Minimum 3 years of experience in Power BI development and data modeling.
• Experience connecting Power BI to Azure-based data sources.
• Familiarity with data governance and security best practices.

Responsibilities

• Design, build, and optimize Power BI dashboards and reports.
• Develop and maintain data models for efficient DAX calculations.
• Collaborate with Data Engineering teams to ensure data quality.

Skills

Power BI

DAX

SQL

Data Visualization

ETL processes

Azure Databricks

Data Governance

Gen AI-enhanced analytics

Education

Bachelor’s Degree in Computer Science or related field

Tools

Power BI Desktop & Service

Azure Data Factory

Job description

A leading tech solutions provider in Malaysia is seeking exceptional Power BI Developers to join its Data & Analytics team. The successful candidates will design and maintain Power BI reports and dashboards, ensuring actionable insights across sales and marketing. Applicants should have a Bachelor’s degree and at least 3 years of Power BI experience. Benefits include travel allowances, certification funding, and annual bonuses. Ideal candidates will have strong DAX skills and knowledge of data governance practices, working closely with data engineers and analysts.